mcp-development
Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
564 skills found
Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.
Automated CLI tool to scrape and convert Notion, DocSend, PDFs, and general web documents into local PDF files with session persistence and daemon support.
Extract YouTube video subtitles or transcripts directly into local text files using yt-dlp or browser automation.
Specialized data engineering agent for designing ETL/ELT pipelines, defining data schemas, managing data quality, and implementing robust ingestion workflows.
Implement Google Gemini API audio capabilities: process, transcribe, and summarize audio files, analyze environmental sounds, and generate natural speech with controllable TTS.
Create professional diagrams with Mermaid.js v11 syntax. Supports 24+ types including flowcharts, sequence diagrams, class diagrams, ER diagrams, and Gantt charts for documentation and technical visualization.
Prefect CLI skill for executing mutation operations like triggering deployments, canceling flow runs, and managing automations within your Prefect infrastructure.
NestJS 11+ expert assistant for enterprise Node.js development, including dependency injection, DTO validation, authentication, ORMs, testing, microservices, and architectural best practices.
One-click publishing of Markdown articles to WeChat Official Account drafts, featuring automated image hosting, multi-theme styling, and code syntax highlighting.
Create, debug, and optimize Cloudflare Durable Objects. Supports stateful coordination, RPC, SQLite storage, WebSocket handlers, and Vitest testing.
Efficiently extract, filter, and transform specific fields from JSON files using jq, saving up to 95% of context window usage compared to reading full files.
Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.